senior machine learning Applied Scientist ic · Posted Mar 16, 2026
$167,100 – $226,100
USD per year

About this role

Amazon is hiring a senior-level Applied Scientist in the machine learning function based in Seattle, WA. The posting calls out experience with Python, Java, R, AWS. Compensation is listed at $167,100–$226,100 per year.

Role
Applied Scientist
Function
machine learning
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Seattle, WA
Department
Applied Science
Posted
Mar 16, 2026
AI Summary
Senior Applied Scientist building multi-agent GenAI systems using LLMs and foundational models. Drive end-to-end projects from conception to production, optimize ML models, research innovative approaches, and analyze large datasets. Requires expertise in large language models, agentic systems, and machine learning with hands-on productionization experience.

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Job description

from Amazon careers

About us As part of the AWS Applied AI Solutions organization, our vision is to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. Our team combines Amazon's real-world experience with state-of-art AI to create opinionated, turnkey solutions that are no-brainers to buy and easy to use. We're building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every day—putting AI to work to deliver better customer experiences, operational excellence, and faster innovation. We're a fast-moving, scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle, you'll fit right in. The Role We're seeking a talented Senior Applied Scientist with expertise in large language models, agentic systems, and foundational models. You will be responsible for building the state-of-art multi-agent system, using a handful of methods including fine-tunning, reinforcement learning, etc. You'll accelerate our customer-facing features, contribute to our collaborative and innovative culture, and…

This is an excerpt. Read the full job description on Amazon careers →
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